Paper Citation Record · LEDGER

Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.12264.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.12264 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.435715Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0281f0dc-1067-4c50-ba00-1cf46a4a2b39 · inbound

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:37:54.601750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d25aa05-5e67-4586-9c6a-647adce23905 · inbound

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis cites this paper.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:53.617541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0722cc8b-e0d4-476e-9034-77cdcee796c8 · inbound

Random-Set Large Language Models cites this paper.

Random-Set Large Language Models Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.435715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7280d8-7b37-40bf-be50-e1cfa0d20f19 · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:21:13.166778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83d9ff01-8294-471e-bfbf-cc7e039f0208 · inbound

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.433213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f037a8fc-1ef2-457b-9f6b-07ae18cc217c · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:44.989530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4c187e-5c6c-4a98-9c82-14f8146df2af · inbound

The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives cites this paper.

The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T11:17:36.682867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de94a8c-371d-4461-a0ae-62b752e0bd1e · inbound

Epistemic Uncertainty for Test-Time Discovery cites this paper.

Epistemic Uncertainty for Test-Time Discovery Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.154719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6c6c805-4361-4401-ae25-7cad83544b3c · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:41:21.411465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2a4ce5d-6bd0-40da-aa75-75783ea9988f · inbound

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models cites this paper.

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:45.344765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe75ab83-1668-4740-977c-e43369a9c179 · inbound

Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation cites this paper.

Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:08:42.880099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.